A comprehensive study of effect of concentration, particle size and particle shape on thermal conductivity of titania/water based nanofluid

By P. Maheshwary, C. Handa, K. Nemade. 2017

189 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/1181c3c04da8759e42b6daa2e49853ce821a5d34

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. M. Alhuyi Nazari
2. Mohammad Hossein Ahmadi
3. Roghayeh Ghasempour
4. Omid Mahian
5. Masoud Afrand
6. M. Hemmat Esfe

In Mechanical Engineering

1. M. Alhuyi Nazari
2. Mohammad Hossein Ahmadi
3. Roghayeh Ghasempour
4. Omid Mahian
5. M. Ramezanizadeh

In Renewable Energy, Sustainability and the Environment

1. M. Alhuyi Nazari
2. Mohammad Hossein Ahmadi
3. Omid Mahian

Citations in the corpus

• A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach (2018, background): “Brownian motion [66]; on the other hand, some studies”